Statistics for advanced practice nurses and health professionals
Record details
- ISBN: 0826198244
- ISBN: 9780826198242
- ISBN: 0826198252
- ISBN: 9780826198259
-
Physical Description:
1 online resource (ix, 339 pages)
remote - Publisher: New York, NY : Springer Publishing Company, [2014]
- Copyright: ©2014
Content descriptions
Bibliography, etc. Note: | Includes bibliographical references and index. |
Formatted Contents Note: | Introductin: the role of statistics in research and clinical practice -- Properties of variables: levels of measurement -- Descriptive univariate statistics -- Probabilities -- Logic of statistical inference: the sampling distribution and significance tests -- Standard errors, confidence intervals and the power of statistical tests -- Research designs and statistical analysis -- T-test -- Oneway analysis of variance -- Linear regression and Pearson's r correlation -- Factorial analysis of variance and analysis of covariance -- Multiple linear regression -- Repeated measures analysis of variance -- Introduction to mixed-effects regression models -- Non-parametric/ordinal statistics -- Frequency cross-tabulations: 2x2 tables -- Logistic regression with one independent variable -- Logistic regression models with multiple predictors -- Incidence rates, life tables and survival function -- Comparing survival functions in different groups and hazard regression -- Reliability coefficients and medical test evaluation -- Factor analysis -- Data management and privacy concerns. |
Language Note: | English. |
Source of Description Note: | Print version record. |
Search for related items by subject
Genre: | electronic book > ebook Nurses Instruction Medical statistics Medical statistics. |
Electronic resources
- Doody's Reviews : DOODY
This review of basic statistical tests and their application to healthcare research is designed to help nurses evaluate research studies to find the best evidence for clinical nursing practice. According to the authors, "the overall goal of this book is to provide the learner with a larger range of statistical models and concepts, which are used in clinical research and as a basis for evidence-based clinical practice," a worthy goal they meet. The intended audience is graduate healthcare students, specifically students in doctor of nursing practice (DNP) programs and other advanced healthcare providers. Both authors are professors with extensive research experience, and one is the director of graduate clinical programs and a nurse practitioner. The first of the book's six sections discusses statistical concepts including design and statistical analysis. The next three describe models for various types of studies. Section five discusses measurement models and section six describes data management issues. The book includes statistical formulas with computation of statistics in the examples. One unique feature is access to online datasets for SPSS, SAS, STATA, and Excel that students can use. One problem area that I have seen with DNP students is selecting a design for their capstone projects. The chapter on design is brief and doesn't give enough information to assist in design choice. This is a unique book that focuses more on working statistical problems than discovering the appropriate statistics to use for a project/clinical problem. While it is useful to understand the computation of statistics, it is more useful for students to understand the mechanics of entering data into a computer program and applying the data to their project. 0.96. Michalene A King, PhD, RN, CNE(Robert Morris University). Copyright 2016 Doody Reviews.